---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: freyagracia/distilbert-base-uncased-finetuned-tweet_pemilu_2
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# freyagracia/distilbert-base-uncased-finetuned-tweet_pemilu_2

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.3796
- Validation Loss: 2.3447
- Epoch: 19

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -937, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.8444     | 4.5973          | 0     |
| 4.5323     | 4.3017          | 1     |
| 4.2944     | 4.0347          | 2     |
| 4.0319     | 3.8860          | 3     |
| 3.8297     | 3.6184          | 4     |
| 3.5679     | 3.4363          | 5     |
| 3.4085     | 3.2184          | 6     |
| 3.2081     | 3.1093          | 7     |
| 3.0778     | 2.9026          | 8     |
| 2.9089     | 2.7794          | 9     |
| 2.8247     | 2.6472          | 10    |
| 2.6888     | 2.6064          | 11    |
| 2.6255     | 2.5352          | 12    |
| 2.4976     | 2.4881          | 13    |
| 2.4868     | 2.3892          | 14    |
| 2.4120     | 2.3527          | 15    |
| 2.3771     | 2.3493          | 16    |
| 2.3609     | 2.3212          | 17    |
| 2.3714     | 2.3579          | 18    |
| 2.3796     | 2.3447          | 19    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.0
- Tokenizers 0.15.0